whatsapp-gpt VS llm-workflow-engine

forgot to mention - I've been harboring a mild thesis I call "API wrappers < APP wrappers" - in other words, yeah most of the best AI apps are going to be wrappers of closed models anyway, but SOTA features and experience are usually released in the full webapp long before an API is made available for them. This dates as far back as the launch of ChatGPT itself when the likes of Dan Gross were writing ChatGPT Webapp proxies since no API was available (https://github.com/danielgross/whatsapp-gpt). I think this thesis will stand for at least a few years, thats just how the economics of SOTA LLMs is going to work out.

re: naming - I've been going with an understated normcore theme for our projects, but our friends took to calling it like a "God View" overseeing all the chat apps. we did a vote on our team and "GodMode" won. I threw in a little shout out to Small Gods, my favorite Terry Pratchett book. It really is like having a bunch of tiny gods living in your laptop responding to your every query.

whatsapp-gpt: WhatsApp bot that uses Golang with a multichat option (chatgpt chatting with chatgpt).

I’m wondering if they basically ran with this: https://github.com/danielgross/whatsapp-gpt and then attempted monetisation.

ah ha

I want to turn on my mic and see my words show up in my active terminal tab. App-agnostic is good but app-specific would work; this is for chatgpt input with https://github.com/mmabrouk/chatgpt-wrapper. right now i'm using chatgpt in browser with speech-to-text browser extension and I would prefer not to. advice regarding older hardware applies here, but also interested in cutting edge for powerful pcs. Any guidance, links to guides valued.

There are more popular Python projects for ChatGPT: https://github.com/mmabrouk/chatgpt-wrapper

Shameless plug here for those (like the author) who are using GPT in your projects and finding the costs to be too high.

I've built an open source wrapper around ChatGPT that lets you use it programmatically as an API or from Python or in CLI. Best of all, it's completely free! So it is great for testing the waters on a hobby project.

Check it out on GitHub: https://github.com/mmabrouk/chatgpt-wrapper

Never worry about exceeding hourly submit times, as the tool waits until it can run again. In short, the ChatGPT Batch Whipper tool is an efficient and user-friendly way to perform batch jobs with ChatGPT. We welcome any feedback or suggestions you may have, so give it a try and see how it can improve your workflow! Thanks to @mmabrouk some of codes were inspired and modified from his repo.

the wrapper I'm using is https://github.com/mmabrouk/chatgpt-wrapper, which is awesome (no credit to me). I just wrote a bash script to wrap around the wrapper :P.

chatgpt-wrapper: API for interacting with ChatGPT using Python and from Shell.

What is the best way to quickly install Python repos like chatgpt-wrapper using Nix?

You may have seen people write tools that use the chat gpt engine, but they all work by automating a browser connected to https://chat.openai.com/chat (e.g. chatgpt.py).